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Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Karim Ibrahim; Robert Kirkpatrick – International Review of Research in Open and Distributed Learning, 2024
The release of ChatGPT has marked the dawn of a new information revolution that will transform how people communicate and make meaning. However, to date, little is known about the implications of ChatGPT for L2 composition instruction. To address this gap, the present study uses a systematic review design to synthesize available research on the…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, English (Second Language)
Jingfang Xia; Yao Ge; Zijun Shen; Mudasir Rahman Najar – International Review of Research in Open and Distributed Learning, 2024
Learners might have several challenges while attempting to learn a second/foreign language. Learners of Chinese face linguistic, psychological, and educational challenges. The integration of technology, especially artificial intelligence (AI), into teaching foreign languages is a blessing for teachers and learners. This study delved into the…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Linguistics, Psychological Patterns
Yun Long; Haifeng Luo; Yu Zhang – npj Science of Learning, 2024
This study explores the use of Large Language Models (LLMs), specifically GPT-4, in analysing classroom dialogue--a key task for teaching diagnosis and quality improvement. Traditional qualitative methods are both knowledge- and labour-intensive. This research investigates the potential of LLMs to streamline and enhance this process. Using…
Descriptors: Classroom Communication, Computational Linguistics, Chinese, Mathematics Instruction
Matthew T. Marino; Eleazar Vasquez III – Journal of Special Education Leadership, 2024
This manuscript presents an exploratory mixed-methods case study examining the impact of artificial intelligence (AI) in the form of generative pretrained transformers (GPTs) and large language models on special education administrative practices in one school district in the Northeast United States. AI holds tremendous potential to positively…
Descriptors: Special Education, Administrators, Artificial Intelligence, Data Use
Gary Lieberman – Journal of Instructional Research, 2024
Artificial intelligence (AI) first made its entry into higher education in the form of paraphrasing tools. These tools were used to take passages that were copied from sources, and through various methods, disguised the original text to avoid academic integrity violations. At first, these tools were not very good and produced nearly…
Descriptors: Artificial Intelligence, Higher Education, Integrity, Ethics
Kathleen M. Randolph; Glenna M. Billingsley; Cathy N. Thomas – Journal of Special Education Apprenticeship, 2024
This study investigated the efficacy of two distinct virtual training platforms, TeachLivE™ and Zoom with actors, in preparing preservice practitioners for behavior management in real-world settings. This exploratory study aimed to investigate individual participant skill acquisition and assess which platform better equipped participants with the…
Descriptors: Computer Simulation, Skill Development, Computer Mediated Communication, Educational Technology
Rita Mathew; Jill E. Stefaniak – TechTrends: Linking Research and Practice to Improve Learning, 2024
This paper provides an overview of a needs assessment study conducted in higher education to address the impact of generative AI, specifically ChatGPT, on faculty development and instructional strategies. The study acknowledges the disruptive effect of AI on academia and the varying responses from faculty members. It emphasizes the importance of…
Descriptors: Needs Assessment, Artificial Intelligence, Information Technology, Consciousness Raising
Tzu-Yu Tai – Computer Assisted Language Learning, 2024
Intelligent personal assistants (IPAs) are a valuable tool in language learning because they provide opportunities for authentic interaction. However, their effectiveness, compared with that of human interlocutors, in facilitating second and foreign language interaction has not been explored. Therefore, this study investigated the effect of IPAs…
Descriptors: Artificial Intelligence, Natural Language Processing, English (Second Language), Second Language Learning
Monica Burns – ASCD, 2024
In a world awash in technology, what EdTech skills and strategies should educators focus on to ensure they are making the best use of online spaces for classroom learning? How can they sift through the overwhelming number of options in digital tools and platforms? How can they guide students in learning best practices--especially now that…
Descriptors: Educational Technology, Technology Uses in Education, Best Practices, Artificial Intelligence
Paul Wagner; Dalal Alharthi – Journal of Cybersecurity Education, Research and Practice, 2024
The United States faces persistent threats conducting malicious cyber campaigns that threaten critical infrastructure, companies and their intellectual property, and the privacy of its citizens. Additionally, there are millions of unfilled cybersecurity positions, and the cybersecurity skills gap continues to widen. Most companies believe that…
Descriptors: Artificial Intelligence, Computer Simulation, Information Technology, Computer Security
Sehrab Masri; Haggai Kupermintz; Ihab Zubeidat; Waleed Dallasheh – Learning: Research and Practice, 2024
The current study examined a unique uninational intervention program, conducted separately for Jewish and Arab adolescents, with the aim of cultivating emotional intelligence skills and empathy. 287 adolescents aged 16-17 (115 Jews and 172 Arabs) participated in the program and the study to assess its initial effects. All participants completed…
Descriptors: Arabs, Jews, Intergroup Relations, Empathy
Hyeon Jo – International Journal of Educational Technology in Higher Education, 2024
Artificial Intelligence (AI) chatbots are increasingly becoming integral components of the digital learning ecosystem. As AI technologies continue to evolve, it is crucial to understand the factors influencing their adoption and use among students in higher education. This study is undertaken against this backdrop to explore the behavioral…
Descriptors: Artificial Intelligence, Computer Software, Educational Technology, Technology Uses in Education
Shan Li; Zuer Liu; Mengling Qiu; Jiaxin Huang; Juan Zheng; Guozhu Ding – Journal of Educational Computing Research, 2024
Educational robots represent a unique form of teacher presence. Exploring how the communication features of robot instructors affect student learning experience could contribute to the advancement of educational robots. This study examined the impact of speech rate, voice type, and emotional tone of robots on students' cognitive load, attitudes…
Descriptors: Educational Technology, Technology Uses in Education, Cognitive Processes, Difficulty Level
Sinem Aslan; Lenitra M. Durham; Nese Alyuz; Rebecca Chierichetti; Pete A. Denman; Eda Okur; David I. Gonzalez Aguirre; Julio C. Zamora Esquivel; Hector A. Cordourier Maruri; Sangita Sharma; Giuseppe Raffa; Richard E. Mayer; Lama Nachman – British Journal of Educational Technology, 2024
Previous research showed that the parents acknowledged the technology's benefits for their young children's learning, however, they are still worried about the extended screen time, lack of physical activity and lack of social interactions. To address these concerns, we developed Kid Space to enable pedagogically appropriate technology use for…
Descriptors: Parents, Young Children, Artificial Intelligence, Interpersonal Communication

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